Abstract
E-commerce applications are among the most popular category of applications in the market. Increasing popularity of these applications have raised many concerns of successful system design in this domain. Persuasive strategies play a vital role in interface design, similar to many other category of applications, e-commerce applications have also adapted to persuasive system design methods. This study focuses on analyzing some existing e-commerce applications to identify the persuasive strategies used with a view to understanding their effectiveness in e-commerce. Based on the analysis of 30 e-commerce applications, different implementation methods of many persuasive strategies were identified, where Social Learning and Personalization were the most implemented strategies. No significant correlation could be found between the number of strategies present and the ratings of the applications. Moreover, further analysis on the most popular and highly rated applications among the 30 applications surfaced some differences in the strategies applied while emphasizing the importance of applying persuasive strategies that are appropriate to the purpose of the application.
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Acknowledgments
This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program. We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC) through the Discovery Grant.
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Adib, A., Orji, R. (2021). A Systematic Review of Persuasive Strategies in Mobile E-Commerce Applications and Their Implementations. In: Ali, R., Lugrin, B., Charles, F. (eds) Persuasive Technology. PERSUASIVE 2021. Lecture Notes in Computer Science(), vol 12684. Springer, Cham. https://doi.org/10.1007/978-3-030-79460-6_18
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DOI: https://doi.org/10.1007/978-3-030-79460-6_18
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